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New Approach to Knowledge Transfer Environment Development Available online at www.sciencedirect.com ScienceDirect Procedia Engineering 69 ( 2014 ) 273 – 281 24th DAAAM International Symposium on Intelligent Manufacturing and Automation, 2013 New Approach to Knowledge Transfer Environment Development Ulrika Hurt*, Tauno Otto, Kati Kõrbe Kaare, Ott Koppel Tallinn University of Technology, Ehitajate tee 5, Tallinn 19086, Estonia Innovation Lab of Logistics and Supply Chain, Tallinn University of Technology, Raja 15, Tallinn 19086, Estonia Abstract Contemporary teaching, research and process innovation is directly connected with most up-to-date information, solutions and testing opportunities. In process analysis, improvement or re-organization for production planning, supply chain engineering, production or transport logistics, knowledge-driven innovation derives from best opportunities of testing and simulations. In the era of information technology, the computer-based simulations are tools of teaching and planning. The cooperation of both academia and businesses are at the same time valuing the opportunity of hands-on practicing and visualizations, prototyping processes and having physical demonstrations of planned processes. The current research focuses on combining digital and hands-on approach towards interdisciplinary business-case-solutions in development of modern knowledge transfer organization for students delivering solutions of process simulations in Logistics and Supply Chain Engineering, Production Planning or Factory Development. The renewed environment providing input for knowledge-based supply process development and production planning is the Innovation Lab of Logistics and Supply Chain at Tallinn University of Technology. © 2014 The Authors. Published by Elsevier Ltd. © 2014 The Authors. Published by Elsevier Ltd. Selection and peer-review under responsibility of DAAAM International Vienna. Selection and peer-review under responsibility of DAAAM International Vienna Keywords: prototyping; hands-on-learning; simulation; innovation; interdicsiplinary; higher education; engineering; logistics; supply chain engineering 1. Introduction The transfer of scientific and technological know-how into valuable economic activity has become a high priority. Universities and other higher education institutions are important sources of new scientific knowledge. Industry can gain access to this knowledge or resources by developing formal and informal links with higher education * Corresponding author. Tel.: +372-52-14-251. E-mail address: [email protected] 1877-7058 © 2014 The Authors. Published by Elsevier Ltd. Selection and peer-review under responsibility of DAAAM International Vienna doi: 10.1016/j.proeng.2014.02.232 274 Ulrika Hurt et al. / Procedia Engineering 69 ( 2014 ) 273 – 281 institutions [1]-[2]. Therefore, the development of higher education links with private sector is assumed to encourage innovation and production [3]. The form of linkages between individual firms and higher education institutes might include [4]: • the transfer of people including founding members of firms, key personnel and staff into employment in firms; • the transfer of knowledge; • contract or sponsoring research in the university by researchers and students; • contract development, design, analysis, testing, evaluation etc; • access to university facilities; • less formal interchange with academics which may lead to the important change of information. Today, there is a growing recognition in the business community about the importance of managing knowledge as a critical source for competitive advantage [5]. Researchers in the field of sustainable competitive advantage have discovered that knowledge, which includes what the organization knows, how it uses what it knows and how fast it can know something new is the only thing that offers an organization a competitive edge [6]. Knowledge is the thermonuclear competitive weapon of our time; knowledge and its management are more valuable and more powerful than natural resources, big factories, or fat bankrolls [7]. According to knowledge chain model [20] competitiveness can be achieved only via learning projection. Education in universities especially on Master’s level has been changing rapidly in recent years. An entrepreneurship or business-related case-solving component is placed in the majority of curricula and students are expected to be able to not only have innovative ideas, but also to develop them to start-ups and prototypes. Therefore the success in university programs is not measured by the courses taught but on the ability of the students to be successful and skillful in transforming the knowledge into products or applicable solutions. The development and application of contemporary teaching and analysis methods, such as computer-based simulations and visualization software, have been introduced in curricula of logistics, production planning and supply chain engineering to support the aim of knowledge-driven competitiveness development. The digital approach has therefore often pulled the attention away from the physical testing and simulating in the process mapping fields where prototyping is regularly not the method and drawing as the first hands-on method cannot be considered sufficient. Researchers from Aalto University analyzed the best practices from Stanford University, Massachusetts Institute of Technology (MIT) and Royal Institute of Technology (KTH), before they reached the concept of Future Lab of Product Design, combining engineering with business administration and design [8]. The concept was scaled up and as a result Aalto Design Factory was established in Finland as the pioneering academic factory. The concept has been transferred successfully further to Shanghai (Aalto-Tongji Design Factory) and Melbourne (Swinburne Design Factory). Aalto Design Factory with its roots in engineering and industrial design is currently facilitating experimentation of design-based approaches to learning providing some insights in to the practical arrangement of supporting the development of these skills in conjunction with disciplinary expertise Error! Reference source not found.. Such modern factories as innovative university labs and testing facilities for students are open 24 hours from platforms for students to gather together, exchange thoughts and develop ideas into prototypes. Living Labs are innovation infrastructures where software companies and research organizations collaborate with lead users to design and develop new products and services. Living labs are open innovation infrastructures shared by several stakeholders. Companies considering developing a living lab will find little guidance and no concurrence on best practices, for managing it or integrating it with existing innovation programs. A reference model is required to provide living lab managers and practitioners the tools to create and evolve a living lab following a continuous improvement and evolution approach [11] and [12]. The stakeholders involved in a living lab include companies of the software industry, communities of end-users, computer science research organizations and public administrations supporting innovation policies. ISO/IEC 15504 provides a useful framework for creating such a model. This reference model is composed of a formalized structure for organizing processes and effective practices for software Ulrika Hurt et al. / Procedia Engineering 69 ( 2014 ) 273 – 281 275 development and service provision activities; it is used in IT companies to guide continuous process improvement initiatives for providing better products and services. The process categories are summarized as innovation initiatives management; organizational management; technical development; deployment; and monitoring and evaluation. However, in many cases, living lab participants and managers do not have a user innovation culture or the required competences and it is very difficult for them to start participating and managing this kind of user innovation infrastructure [13]. Computers cannot be excelled with human capability in calculations, process visualization or preciseness, simplified or even rough physical floor plans and mechanical movements can improve the understanding of the state of art, the mapping of bottlenecks and lead to better results in process planning. Process simulations in Logistics, Supply Chain Engineering and Production Planning are a challenge as regularly the amount of data and its preciseness allows no approximate solutions but only accurate calculations. Nevertheless – in the interdisciplinary business-cases solved and projects made as consultations to the industry, hands-on showroom is the method promoted to be used in parallel with digital solutions at the Tallinn University of Technology (TUT). Developed lab concept combining hands-on physical prototyping, teaching and research allows different Faculties as Mechanical Engineering, Civil Engineering, ICT and School of Economics and Business Administration to perform interdisciplinary research and testing, providing a platform for game and simulation tools development as well as serve as a simulation and demo-center for students and visitors overall. 2. Concept of innovation laboratory in Tallinn In the National Strategy for Higher Education 2011-2015, The Estonian Ministry of Education and Science has stressed the role of higher education in supporting the Estonian economic development and innovation [13]. The Strategic Plan of TUT years 2011-2015 states that the teaching methods, environment and
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